Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Lunga, Langalibalele"'
Autor:
Lunga, Langalibalele, Sreehari, Suhas
Machine learning models are prone to adversarial attacks, where inputs can be manipulated in order to cause misclassifications. While previous research has focused on techniques like Generative Adversarial Networks (GANs), there's limited exploration
Externí odkaz:
http://arxiv.org/abs/2411.03348
High-throughput phenotyping refers to the non-destructive and efficient evaluation of plant phenotypes. In recent years, it has been coupled with machine learning in order to improve the process of phenotyping plants by increasing efficiency in handl
Externí odkaz:
http://arxiv.org/abs/2407.06354